{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(rc={'figure.figsize': (6, 6)})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "默认十个颜色循环"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "current_palette = sns.color_palette()\n",
    "sns.palplot(current_palette)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
